def main(sensorConfigFile='narada.cfg'): # Load configuration config = ConfigParser.ConfigParser() config.read(['config/client/SenStore.cfg']) # # Connect to server and get manager proxy # client = SenStoreClient(sys.argv, 'Narada Node Registrar Python client') mngr = client.getManager() logging.info('Connected to SenStore') # Load the defined Narada units and channels daqUnits = daqlib.loadConfigUnits('narada.cfg') # Create the units daqlib.createUnits(mngr, daqUnits, "NaradaNode") # All done client.close()
def main(): # Setup logging FORMAT = "%(asctime)-15s:%(levelname)s %(message)s" logging.basicConfig(level=logging.DEBUG,format=FORMAT) # Load configuration config = ConfigParser.ConfigParser() config.read(['config/client/SenStore.cfg']) # # Connect to server and get manager proxy # client = SenStoreClient(sys.argv, 'Narada Sensor Data Saver Python client') mngr = client.getManager() logging.info('Connected to SenStore') # Load the defined Narada units and channels daqUnits = daqlib.loadConfigUnits('narada.cfg') # Get the signals signalPrxTable = daqlib.getChannelDataProxies(mngr, daqUnits.keys()) # Create time axis t0 = time.time() dt = 0.01 # Sampled data interval n = 5*60*100 # Number of samples per run ts = 6*3600 # Interval between runs N = 3 # Number of runs t = numpy.zeros(n) for k in range(-N,0): for i in range(-len(t),0): t[i] = t0 + i*dt + k*ts # Insert dummy data for each signal (channel) for key, signalPrx in signalPrxTable.iteritems(): data = numpy.random.random_integers(0,2**16-1,n) signalPrx.appendToSignal(t.tolist(), data.tolist()) logging.info('Stored random data in Narada channel signal %s:%d' % key) # All done client.close()
def main(): # Setup logging FORMAT = "%(asctime)-15s:%(levelname)s %(message)s" logging.basicConfig(level=logging.DEBUG,format=FORMAT) # Load configuration config = ConfigParser.ConfigParser() config.read(['config/client/SenStore.cfg']) # # Connect to server and get manager proxy # client = SenStoreClient(sys.argv, 'Narada Query Python client') mngr = client.getManager() logging.info('Connected to SenStore') # Load the defined Narada units and channels daqUnits = daqlib.loadConfigUnits('narada.cfg') # Get the signals signalPrxTable = daqlib.getChannelDataProxies(mngr, daqUnits.keys()) nSum = 0 print 'Applied time zone is: %s' % time.strftime("%Z", time.localtime()) for key, signalPrx in signalPrxTable.iteritems(): # Get time range of available signal data timeInfo = signalPrx.getTimeAxisInfo([]) if len(timeInfo.t) > 0: t0 = timeInfo.t[0] t1 = timeInfo.t[-1] print 'Narada unit %s channel %d info:' % key s0 = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(t0)) s1 = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(t1)) print ' time: %s to %s' % (s0, s1) print ' sample index: %d to %d' % (timeInfo.idx[0], timeInfo.idx[-1]) dimInfo = signalPrx.getSignalSize() print " size: %s" % 'x'.join(['%d' % dim for dim in dimInfo]) nSum += timeInfo.idx[-1] - timeInfo.idx[0] + 1 print 'Total number of samples: %d (%dk, %dM)' % (nSum, nSum/1000, nSum/1000000) # All done client.close()